A MEWMA chart for a bivariate exponential distribution

Author

Xie, Y.J. ; Xie, M. ; Goh, T.N.

Author_Institution

Dept. of Ind. & Syst. Eng., Nat. Univ. of Singapore, Singapore, Singapore

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

424

Lastpage

428

Abstract

Control charts as one of the most well-known statistical process control (SPC) techniques have shown to be effective in process monitoring. Most of the existing studies in the area of the time-between-event (TBE) control charts have been focused on the univariate cases. In this paper, a MEWMA chart is constructed for monitoring the mean vector of the Gumbel´s bivariate exponential TBE model. The average run length profile of the proposed chart is studied using simulation. Some guidelines for setting up an optimal MEWMA chart are provided. Finally, a numerical example is given to show the effectiveness of the MEWMA chart.

Keywords

control charts; exponential distribution; moving average processes; statistical process control; MEWMA chart; bivariate exponential distribution; multivariate exponential moving average; process monitoring; statistical process control technique; time-between-event control chart; Condition monitoring; Control charts; Electrical equipment industry; Exponential distribution; Face detection; Guidelines; Industrial control; Modeling; Process control; Systems engineering and theory; ARL; Gumbel´s bivariate exponential distribution; MEWMA chart;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5373319

Filename

5373319